Researching

Journals
  • Advanced Photonics
  • Photonics Insights
  • Advanced Photonics Nexus
  • Photonics Research
  • Advanced Imaging
  • View All Journals
  • Chinese Optics Letters
  • High Power Laser Science and Engineering
    • Articles
  • Optics
  • Physics
  • Geography
  • View All Subjects
    • Conferences
  • CIOP
  • HPLSE
  • AP
  • View All Events
    • News
    About CLP
    Search by keywords or author
    Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 18 >Page 181016 > Article
    • Laser & Optoelectronics Progress
    • Vol. 57, Issue 18, 181016 (2020)
    Edge Thinning Algorithm Based on Gradient Mask Filter
    Dongxu Han and Baojiang Zhong*
    Author Affiliations
  • Department of Computer Science and Technology, Soochow University, Suzhou, Jiangsu 215000, China
    • show less
    DOI: 10.3788/LOP57.181016 Cite this Article Set citation alerts
    Dongxu Han, Baojiang Zhong. Edge Thinning Algorithm Based on Gradient Mask Filter[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181016 Copy Citation Text show less
    Comparison of thinning results based on different edge features. (a)(b) EPM[14]; (c)(d) gradient images[7]; (e)(f) GMF
    Fig. 1. Comparison of thinning results based on different edge features. (a)(b) EPM[14]; (c)(d) gradient images[7]; (e)(f) GMF
    Download full size
    Framework of edge thinning algorithm based on GMF
    Fig. 2. Framework of edge thinning algorithm based on GMF
    Download full size
    Comparison of edge detection results of different algorithms. (a) Original images; (b) GT; (c) Canny; (d) HED; (e) HED+GMF; (f) DeepEdge+SEDT; (g) DeepEdge+GMF; (h) RCF; (i) RCF+GMF
    Fig. 3. Comparison of edge detection results of different algorithms. (a) Original images; (b) GT; (c) Canny; (d) HED; (e) HED+GMF; (f) DeepEdge+SEDT; (g) DeepEdge+GMF; (h) RCF; (i) RCF+GMF
    Download full size
    Subjective evaluation results of different algorithms. (a) DeepEdge+SEDT; (b) DeepContour+SEDT; (c) HED+SEDT; (d) RCF+SEDT; (e) DeepEdge+GMF; (f) DeepContour+GMF; (g) HED+GMF; (h) RCF+GMF
    Fig. 4. Subjective evaluation results of different algorithms. (a) DeepEdge+SEDT; (b) DeepContour+SEDT; (c) HED+SEDT; (d) RCF+SEDT; (e) DeepEdge+GMF; (f) DeepContour+GMF; (g) HED+GMF; (h) RCF+GMF
    Download full size
    AlgorithmABCC/AC/B
    Sobel[4]601124078470.14090.3519
    Roberts[5]4532145810560.23300.7243
    Prewitt[6]596321768400.14090.3860
    Canny[7]2146331506370.02970.2022
    DeepEdge[11] +SEDT[16]572415426660.11640.4319
    DeepContour[12] +SEDT[16]527611543780.07160.3276
    HED[13] +SEDT[16]438911094260.09710.3841
    RCF[14] +SEDT[16]42508762510.05910.2865
    DeepEdge[11]+GMF581913391960.03370.1464
    DeepContour[12]+GMF615312731540.02500.1210
    HED[13]+GMF39008911320.03380.1481
    RCF[14]+GMF49349951140.02310.1146
    Table 1. Average statistical results of different algorithms
    No.AlgorithmABCC/AC/B
    140006RCF[14]589512992630.04460.2025
    RCF[14]+GMF887320611790.02020.0869
    232076RCF[14]29327011980.06750.2825
    RCF[14]+GMF584011851200.02050.1013
    Table 2. Comparison of edge detection results between RCF[14] and RCF+GMF
    Abstract
    Get PDF(in Chinese)
    Figures&Tables (6)
    Equations (0)
    References (20)
    Cited By (1)
    Get Citation
    Copy Citation Text
    Dongxu Han, Baojiang Zhong. Edge Thinning Algorithm Based on Gradient Mask Filter[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181016
    Download Citation
    Set citation alerts for the article
    Tools
    Share
    Set citation alerts for the article
    Save the article for my favorites
    Paper Information
    Recommended Topics
    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology